What do you want to automate
with Hunter and Go?
Prompt, edit and deploy AI agents that connect to Hunter, Go and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Hunter and Go Actions#
Get information about your Hunter account. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Returns all the information associated with an email address and its domain name. See the documentation
Delete an existing lead from your Hunter account. See the documentation
Overview of Hunter#
The Hunter API on Pipedream provides a potent suite for automating email discovery and verification processes. By interfacing with Hunter, you can programmatically find email addresses associated with a domain, verify the deliverability of emails, and retrieve other data points like the organization behind an address. This capability is invaluable for lead generation, sales outreach, and data enrichment workflows, where accurate contact information is crucial.
Connect Hunter#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hunter: {
type: "app",
app: "hunter",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.hunter.io/v2/domain-search`,
params: {
api_key: `${this.hunter.$auth.api_key}`,
domain: `stripe.com`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies